Expected object or value: Importing JSON into Python (Pandas) - json

Question

I am using Python 3 and I tried with
data = pd.read_json('file.json',encoding="utf-8",orient='records',lines=True)
But It gives me:
ValueError: Expected object or value
This is the structure of the Json file, just a quick sample
{
"_id" : ObjectId("5af1b1fd4f4733eacf11dba9"),
"centralPath" : "XXX2",
"viewStats" : [
{
"totalViews" : NumberInt(3642),
"totalSheets" : NumberInt(393),
"totalSchedules" : NumberInt(427),
"viewsOnSheet" : NumberInt(1949),
"viewsOnSheetWithTemplate" : NumberInt(625),
"schedulesOnSheet" : NumberInt(371),
"unclippedViews" : NumberInt(876),
"createdOn" : ISODate("2017-10-13T18:06:45.291+0000"),
"_id" : ObjectId("59e100b535eeefcc27ee0802")
},
{
"totalViews" : NumberInt(3642),
"totalSheets" : NumberInt(393),
"totalSchedules" : NumberInt(427),
"viewsOnSheet" : NumberInt(1949),
"viewsOnSheetWithTemplate" : NumberInt(625),
"schedulesOnSheet" : NumberInt(371),
"unclippedViews" : NumberInt(876),
"createdOn" : ISODate("2017-10-13T19:11:47.530+0000"),
"_id" : ObjectId("59e10ff3eb0de5740c248df2")
}
]
}
With this method, I am able to see the data but I would like to have
with open('file.json', 'r') as viewsmc:
data = viewsmc.readlines()
With this the output
['{ \n',
' "_id" : ObjectId("5af1b1fd4f4733eacf11dba9"), \n',
' "centralPath" : "XXX2", \n',
' "viewStats" : [\n',
' {\n',
' "totalViews" : NumberInt(3642), \n',
' "totalSheets" : NumberInt(393), \n',
' "totalSchedules" : NumberInt(427), \n',
' "viewsOnSheet" : NumberInt(1949), \n',
' "viewsOnSheetWithTemplate" : NumberInt(625), \n',
' "schedulesOnSheet" : NumberInt(371), \n',
' "unclippedViews" : NumberInt(876), \n',
' "createdOn" : ISODate("2017-10-13T18:06:45.291+0000"), \n',
' "_id" : ObjectId("59e100b535eeefcc27ee0802")\n',
' }, \n',
I tried all different method and solution reported on the read_json / https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_json.html
and load/ loads(str) etc. but nothing.

Answer 1

The Issue was with the format of the JSON file,
we tested with https://jsonformatter.curiousconcept.com/ and modify with a regular expression If you have better suggestions let me know.
import re
with open("views3.json", "r+") as read_file:
data = read_file.read()
x = re.sub("\w+\((.+)\)", r'\1', data)
print(x)
read_file.closed

Answer 2

do you want that?: use modul json for reading file.json
import pandas as pd
import json
with open('file.json') as viewsmc:
data = json.load(viewsmc)
print data #you have a dict
df = pd.DataFrame(data)
print(df)